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Animals : an open access journal from MDPI2026; 16(18); 2916; doi: 10.3390/ani16182916

Five Domains, Multiple Realities: A Multidimensional Analysis of Equine Welfare in Equestrian Events in Brazil.

Abstract: Welfare assessments at traditional equestrian events in Brazil are scarce. This study aimed to systematize and stratify assessments based on the Five Domains (5DMs) model into subdomains (sDMs) for vaquejada and gait events and to adapt them to reflect local conditions and resource availability. Subsequently, the sDMs were classified and scored on a 5-level scale (1 to 5, where 1 = very poor and 5 = excellent), and assessments were conducted at three vaquejada and five gaited horse competitions. Assessments took place during morning, afternoon, and evening periods over two or more days and were carried out by previously trained evaluators. Overall, results indicated that the level of animal welfare was good or excellent across all five domains. Regarding the health domain, 2.8% of the animals were classified at "very poor" or "poor" levels due to a higher incidence of compromised sDMs. Analysis of the sDM results stratified by event revealed a higher frequency of scores below "fair" in the health domain ( = 12), followed by the environment (stalls) domain ( = 4) and nutrition domain ( = 2), a pattern reflected in the overall results. It is concluded that the use of the adapted 5DMs model and its subdomains (sDMs) demonstrates potential as a preliminary, exploratory framework for assessing the welfare of equine athletes at equestrian events, regardless of the event's level or quality, regarding the impact of these events on the horses' quality of life.
Publication Date: 2026-09-16 PubMed ID: 42791772DOI: 10.3390/ani16182916Google Scholar: Lookup
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Summary

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Five Domains, Multiple Realities: A Multidimensional Analysis of Equine Welfare in Equestrian Events in Brazil

Objective and Context of the Study

  • The study investigates welfare assessments at traditional equestrian events in Brazil, focusing on horse welfare during vaquejada and gaited horse competitions.
  • It uses the Five Domains Model (5DMs), a framework for evaluating animal welfare, adapting it to local conditions and resource availability to improve relevance and accuracy.

The Five Domains Model and Subdomains (sDMs)

  • The 5DMs model assesses animal welfare across five key areas: nutrition, environment, health, behavior, and mental state.
  • This study further stratified the 5DMs into subdomains (sDMs) tailored specifically for the equestrian events studied.
  • Adaptations were made so the assessments would reflect Brazilian local conditions and resource constraints, enhancing practical application.

Methodology

  • Assessments were conducted at eight competitions: three vaquejada events and five gaited horse competitions.
  • Evaluation sessions occurred during different times of day – morning, afternoon, and evening – over two or more days to capture variability.
  • Assessment scores were assigned on a five-level scale (1 = very poor to 5 = excellent).
  • Evaluators were trained to ensure consistent and reliable scoring across events and domains.

Results and Key Findings

  • Overall, the welfare level of horses was rated as good or excellent across all Five Domains, suggesting generally positive conditions at these events.
  • However, in the health domain, 2.8% of horses received “very poor” or “poor” welfare ratings, indicating some concern.
  • Stratification by event showed that health domain sDMs recorded the highest frequency of scores below “fair” (n=12), pointing to health as the most problematic domain.
  • Other domains with notable lower scores included environment (specifically stall conditions) with four subdomains scoring below “fair,” and nutrition with two subdomains scoring below “fair.”
  • This pattern of scores is reflective of the collective welfare status across all events analyzed.

Implications and Conclusion

  • The adapted Five Domains Model with its subdomains (sDMs) provides a useful exploratory framework for preliminary equine welfare assessment in equestrian events.
  • This approach is applicable regardless of the competition’s level, scale, or quality, making it versatile and practical for various contexts.
  • The model highlights areas needing improvement, especially health, environment (stall conditions), and nutrition, guiding future interventions.
  • Overall, the study supports the adoption of multidimensional welfare assessments to ensure the well-being and quality of life of equine athletes at competitive events.

Cite This Article

APA
Trindade KLG, Silva CJFL, Cruz RKS, Ribeiro Filho JD, Vilela CF, Vilela VSR, Coelho CS, Manso HECCC, Manso Filho HC. (2026). Five Domains, Multiple Realities: A Multidimensional Analysis of Equine Welfare in Equestrian Events in Brazil. Animals (Basel), 16(18), 2916. https://doi.org/10.3390/ani16182916

Publication

ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 16
Issue: 18
PII: 2916

Researcher Affiliations

Trindade, Keity L G
  • Equine Research Center, Federal Rural University of Pernambuco (UFRPE), Recife 52171-900, PE, Brazil.
Silva, Carolina J F L
  • Equine Research Center, Federal Rural University of Pernambuco (UFRPE), Recife 52171-900, PE, Brazil.
Cruz, Raíssa K S
  • School of Veterinary Medicine, Cesmac University Center, Maceió 57051-160, AL, Brazil.
Ribeiro Filho, José D
  • Department of Veterinary Medicine, Federal University of Viçosa, Viçosa 36570-900, MG, Brazil.
Vilela, César F
  • Independent Researcher, Americana 13474-470, SP, Brazil.
Vilela, Vítor S R
  • Independent Researcher, Americana 13474-470, SP, Brazil.
Coelho, Clarisse S
  • Veterinary and Animal Research Center (CECAV), Faculty of Veterinary Medicine, Lusofona University, 1749-024 Lisbon, Portugal.
Manso, Helena E C C C
  • Equine Research Center, Federal Rural University of Pernambuco (UFRPE), Recife 52171-900, PE, Brazil.
Manso Filho, Helio C
  • Equine Research Center, Federal Rural University of Pernambuco (UFRPE), Recife 52171-900, PE, Brazil.

Citations

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